Analysis of Survival Data with Dependent Censoring: Copula-Based Approaches

Author:   Takeshi Emura ,  Yi-Hau Chen ,  Shigeyuki Matsui ,  Virginie Rondeau
Publisher:   Springer Verlag, Singapore
Edition:   2018 ed.
ISBN:  

9789811071638


Pages:   84
Publication Date:   13 April 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Analysis of Survival Data with Dependent Censoring: Copula-Based Approaches


Overview

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients’ survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers’ understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.

Full Product Details

Author:   Takeshi Emura ,  Yi-Hau Chen ,  Shigeyuki Matsui ,  Virginie Rondeau
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   2018 ed.
Weight:   0.454kg
ISBN:  

9789811071638


ISBN 10:   9811071632
Pages:   84
Publication Date:   13 April 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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Author Information

Takeshi Emura, Chang Gung University  Yi-Hau Chen, Institute of Statistical Science, Academia Sinica

Tab Content 6

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Latest Reading Guide

NOV RG 20252

 

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